Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mairin vs Bryan 313–262 54.43%
Mairin vs Hwoarang 251–227 52.51%
Mairin vs Jin 258–210 55.13%
Mairin vs Dragunov 242–213 53.19%
Mairin vs Yoshimitsu 275–171 61.66%
Mairin vs Jack-8 212–225 48.51%
Mairin vs Kazuya 232–203 53.33%
Mairin vs Lars 221–195 53.12%
Mairin vs Steve 213–200 51.57%
Mairin vs Law 241–168 58.92%
Mairin vs Lili 248–158 61.08%
Mairin vs King 234–167 58.35%
Mairin vs Lee 216–174 55.38%
Mairin vs Eddy 204–174 53.97%
Mairin vs Feng 191–158 54.73%
Mairin vs Xiaoyu 188–156 54.65%
Mairin vs Asuka 179–150 54.41%
Mairin vs Claudio 169–157 51.84%
Mairin vs Reina 152–168 47.50%
Mairin vs Leroy 201–118 63.01%
Mairin vs Azucena 159–151 51.29%
Mairin vs Heihachi 157–152 50.81%
Mairin vs Lidia 163–141 53.62%
Mairin vs Devil Jin 173–121 58.84%
Mairin vs Victor 150–139 51.90%
Mairin vs Jun 158–124 56.03%
Mairin vs Shaheen 151–122 55.31%
Mairin vs Alisa 165–107 60.66%
Mairin vs Clive 129–140 47.96%
Mairin vs Paul 153–109 58.40%
Mairin vs Leo 168–94 64.12%
Mairin vs Zafina 150–111 57.47%
Mairin vs Raven 155–98 61.26%
Mairin vs Nina 137–113–1 54.80%
Mairin vs Armor King 130–107 54.85%
Mairin vs Kuma 110–94 53.92%
Mairin vs Anna 87–95 47.80%
Mairin vs Panda 89–73 54.94%
Mairin vs Fahkumram 74–82 47.44%
Mairin vs Miary Zo 53–37 58.89%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.